Infectious Diseases (except HIV/AIDS)

Distribution of the COVID-19 epidemic and correlation with population emigration from Wuhan, China

1. Ze-Liang Chen
2. Qi Zhang
3. Yi Lu
4. Zhong-Min Guo
5. Xi Zhang
6. Wen-Jun Zhang
7. Cheng Guo
8. Cong-Hui Liao
9. Qian-Lin Li
10. Xiao-Hu Han
11. Jia-Hai Lu

Reviewed by ScreenIT

Bulk and single-cell transcriptomics identify tobacco-use disparity in lung gene expression of ACE2, the receptor of 2019-nCov

1. Guoshuai Cai

Reviewed by ScreenIT

Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2

1. Yadi Zhou
2. Yuan Hou
3. Jiayu Shen
4. Yin Huang
5. William Martin
6. Feixiong Cheng

Reviewed by ScreenIT

Integrative Bioinformatics Analysis Provides Insight into the Molecular Mechanisms of 2019-nCoV

1. Xiang He
2. Lei Zhang
3. Qin Ran
4. Junyi Wang
5. Anying Xiong
6. Dehong Wu
7. Feng Chen
8. Guoping Li

Reviewed by ScreenIT

The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application

1. Stephen A. Lauer
2. Kyra H. Grantz
3. Qifang Bi
4. Forrest K. Jones
5. Qulu Zheng
6. Hannah R. Meredith
7. Andrew S. Azman
8. Nicholas G. Reich
9. Justin Lessler

Reviewed by ScreenIT

Direct Measurement of Rates of Asymptomatic Infection and Clinical Care-Seeking for Seasonal Coronavirus

1. Jeffrey Shaman
2. Marta Galanti

Reviewed by ScreenIT

Early dynamics of transmission and control of COVID-19: a mathematical modelling study

1. Adam J Kucharski
2. Timothy W Russell
3. Charlie Diamond
4. Yang Liu
5. John Edmunds
6. Sebastian Funk
7. Rosalind M Eggo
8. Fiona Sun
9. Mark Jit
10. James D Munday
11. Nicholas Davies
12. Amy Gimma
13. Kevin van Zandvoort
14. Hamish Gibbs
15. Joel Hellewell
16. Christopher I Jarvis
17. Sam Clifford
18. Billy J Quilty
19. Nikos I Bosse
20. Sam Abbott
21. Petra Klepac
22. Stefan Flasche

Reviewed by ScreenIT

Reconciling early-outbreak estimates of the basic reproductive number and its uncertainty: framework and applications to the novel coronavirus (SARS-CoV-2) outbreak

1. Sang Woo Park
2. Benjamin M. Bolker
3. David Champredon
4. David J. D. Earn
5. Michael Li
6. Joshua S. Weitz
7. Bryan T. Grenfell
8. Jonathan Dushoff

Reviewed by ScreenIT

The Dantu blood group prevents parasite growth in vivo: Evidence from a controlled human malaria infection study

1. Silvia N Kariuki
2. Alexander W Macharia
3. Johnstone Makale
4. Wilfred Nyamu
5. Stephen L Hoffman
6. Melissa C Kapulu
7. Philip Bejon
8. Julian C Rayner
9. Thomas N Williams
10. On behalf of for the CHMI-SIKA Study Team

• Curated by eLife

  eLife assessment

  The large genetic association studies conducted in East Africa have shown that the Dantu blood group provides substantial protection against severe malaria since it increases the surface tension of red blood cells making it harder for malaria parasites to invade. In this important work, the authors show that parasite growth is indeed restricted in vivo by testing this hypothesis in adult Kenyan volunteers infected with P. falciparium under careful monitoring. They were able to show convincingly that indeed, parasite growth was reduced amongst Dantu adults.

Reviewed by eLife

Changes in transmission of Enterovirus D68 (EV-D68) in England inferred from seroprevalence data

1. Margarita Pons-Salort
2. Ben Lambert
3. Everlyn Kamau
4. Richard Pebody
5. Heli Harvala
6. Peter Simmonds
7. Nicholas C Grassly

• Curated by eLife

  eLife assessment

  The authors use data from 3 cross-sectional age-stratified serosurveys on Enterovirus D68 from England between 2006 and 2017 to examine the transmission dynamics of this pathogen in this setting. Understanding these dynamics, including how it changes over time, may help uncover potential changes in the transmissibility of the virus. While the topic is relevant, interpretation of the results challenging largely due to the great uncertainty around how to interpret the serological (serostatus) data, and the impact this has on the inferences made. We ask the authors to perform some additional analyses and to provide more intuition to understand some of the key findings of this analysis.

Reviewed by eLife